diff --git a/configure.sh b/configure.sh
index 568d452c0..7441fe82b 100755
--- a/configure.sh
+++ b/configure.sh
@@ -174,7 +174,9 @@ lib_dir = lib_path if os.path.isdir(lib_path) else os.path.dirname(lib_path)
 print(lib_dir)
 
 cands = (glob.glob(os.path.join(lib_dir, 'libtensorflow_framework.so*')) or
+         glob.glob(os.path.join(lib_dir, 'libtensorflow_framework*.dylib')) or
          glob.glob(os.path.join(lib_dir, 'libtensorflow.so*')) or
+         glob.glob(os.path.join(lib_dir, 'libtensorflow*.dylib')) or
          glob.glob(os.path.join(lib_dir, '_pywrap_tensorflow_internal.*')))
 print(os.path.basename(cands[0]) if cands else 'libtensorflow_framework.so.2')
 PY
diff --git a/docs/install.md b/docs/install.md
index 61338735c..0c696a6a0 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -17,7 +17,7 @@ TensorFlow Quantum is supported on Python 3.9, 3.10, and 3.11 and depends direct
 ### Requirements
 
 * pip 19.0 or later (requires `manylinux2014` support)
-* [TensorFlow == 2.15.0](https://www.tensorflow.org/install/pip)
+* [TensorFlow >= 2.16, < 2.17](https://www.tensorflow.org/install/pip)
 
 See the [TensorFlow install guide](https://www.tensorflow.org/install/pip) to
 set up your Python development environment and an (optional) virtual environment.
@@ -27,7 +27,7 @@ Upgrade `pip` and install TensorFlow
 <!-- common_typos_disable -->
 <pre class="devsite-click-to-copy">
   <code class="devsite-terminal">pip3 install --upgrade pip</code>
-  <code class="devsite-terminal">pip3 install tensorflow==2.15.0</code>
+  <code class="devsite-terminal">pip3 install "tensorflow>=2.16,<2.17"</code>
 </pre>
 <!-- common_typos_enable -->
 
@@ -55,6 +55,13 @@ Nightly builds which might depend on newer version of TensorFlow can be installe
 
 The following steps are tested for Ubuntu-like systems.
 
+### macOS (Apple Silicon) Users
+
+For macOS users, especially on Apple Silicon (M1/M2/etc.), you can often skip building TensorFlow from source (Step 4) if a compatible version is available via pip.
+Ensure you have `tensorflow` installed (`pip install "tensorflow>=2.16,<2.17"`).
+Then proceed to clone TensorFlow Quantum (Step 5) and build it (Step 6).
+Note that `configure.sh` will detect your installed TensorFlow libraries.
+
 ### 1. Set up a Python 3 development environment
 
 First we need the Python 3.10 development tools.
@@ -84,7 +91,7 @@ As noted in the TensorFlow
 guide, the <a href="https://bazel.build/" class="external">Bazel</a>
 build system will be required.
 
-Our latest source builds use TensorFlow 2.15.0. To ensure compatibility we use `bazel` version 6.5.0. To remove any existing version of Bazel:
+Our latest source builds use TensorFlow 2.16.x. To ensure compatibility we use `bazel` version 6.5.0. To remove any existing version of Bazel:
 <!-- common_typos_disable -->
 <pre class="devsite-click-to-copy">
   <code class="devsite-terminal">sudo apt-get remove bazel</code>
@@ -121,7 +128,7 @@ Finally, confirm installation of the correct `bazel` version:
 ### 4. Build TensorFlow from source
 
 Here we adapt instructions from the TensorFlow [build from source](https://www.tensorflow.org/install/source)
-guide, see the link for further details. TensorFlow Quantum is compatible with TensorFlow version&nbsp;2.15.0.
+guide, see the link for further details. TensorFlow Quantum is compatible with TensorFlow version&nbsp;2.16.x.
 
 Download the
 <a href="https://github.com/tensorflow/tensorflow" class="external">TensorFlow source code</a>:
@@ -130,7 +137,7 @@ Download the
 <pre class="devsite-click-to-copy">
   <code class="devsite-terminal">git clone https://github.com/tensorflow/tensorflow.git</code>
   <code class="devsite-terminal">cd tensorflow</code>
-  <code class="devsite-terminal">git checkout v2.15.0</code>
+  <code class="devsite-terminal">git checkout v2.16.1</code>
 </pre>
 
 Be sure the virtual environment you created in step 2 is activated. Then, install the TensorFlow dependencies: